Data science in battery production

Using big data to improve coater quality in Lithium-ion battery manufacturing

Lithium-ion battery manufacture is a demanding application environment, with pressure to increase yield and reduce waste while at the same time driving up the speed of production. And with rapid market growth on a global scale, manufacturers need to explore new avenues to gain a competitive advantage.

Data holds the key, but while data availability is huge, traditional monitoring of machine overview data is no longer sufficient to drive the productivity gains that are required. This paper examines how we can dig deeper for genuine insights in the operation.

Please register below to download the Whitepaper!

*Entreprise

*Prénom et nom

*E-mail

* I have read and agree to the privacy policy of Mitsubishi Electric Europe B.V.. I am aware and agree that the data I have entered may also be forwarded to responsible Mitsubishi Electric representatives in third countries outside the European Union for which no adequacy decision of the EU-Commission exists.

By filling in this form, you consent to the data entered being processed by the company MITSUBISHI ELECTRIC EUROPE BV and / or its subcontractors, as data controller for the purposes of the organization and implementation of the training in question. Participants benefit from a right of access, rectification, erasure (right to be forgotten), limitation of processing, opposition and portability of personal data concerning them. In the event that participants wish to exercise any of these rights, they must make a request to MITSUBISHI ELECTRIC EUROPE B.V. by email to the following address: LDPC.France@fra.mee.com. Our privacy policy is accessible via the following link: fr.mitsubishielectric.com/fa//en/privacy

The fields marked by a * are mandatory.

Inquiries
Newsletter
Service
Downloads